The possibility of combining machine learning and quantum computing also led to the generalization of GAN to quantum systems by S. Lloyd and C. Weedbrook [1]}. The main mechanism of the model, the adversarial training, is reproduced, but different scenarios are possible: the input data can be either quantum data or classical data embedded in quantum states and the discriminator/the generator can also be either classical or quantum.
